Amazon Redshift vs Netezza Analytics comparison

The compared Amazon Web Services (AWS) and IBM solutions aren't in the same category. Amazon Web Services (AWS) is ranked #4 in CDW , with an average rating of 7.7, and holds a 7.7% mindshare in the category. IBM is ranked #11 in H , and holds a 1.4% mindshare. Additionally, 85% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 76% of IBM users who would recommend it.

Amazon Redshift

Read 66 Amazon Redshift reviews

6,278 Views
4,381 Comparison Views

85% willing to recommend

Netezza Analytics

Read 11 Netezza Analytics reviews

190 Views
89 Comparison Views

76% willing to recommend

Amazon Redshift

Netezza Analytics

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Amazon Redshift and Netezza Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon Web Services (AWS) and others in Cloud Data Warehouse.

To learn more, read our detailed Cloud Data Warehouse Report (Updated: October 2024).

Buyer's Guide

Cloud Data Warehouse

October 2024

Download the complete report

Helped 816,406 peers since 2012

Categories and Ranking

Amazon Redshift

Average Rating

7.8

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (4th)

Netezza Analytics

Average Rating

7.4

Number of Reviews

Ranking in other categories

Hadoop (11th)

Mindshare comparison

Amazon Redshift and Netezza Analytics aren’t in the same category and serve different purposes. Amazon Redshift is designed for Cloud Data Warehouse and holds a mindshare of 7.7%, down 11.9% compared to last year.
Netezza Analytics, on the other hand, focuses on Hadoop, holds 1.4% mindshare, up 1.0% since last year.

Cloud Data Warehouse

Hadoop

Featured Reviews

Ved Prakash Yadav

Senior Data Platform Manager at a manufacturing company with 10,001+ employees

Works as a data warehouse system and collects data from different sources

In terms of improvement, I believe Amazon Redshift could work on reducing its costs, as they tend to increase significantly. Additionally, there are occasional issues with nodes going down, which can be problematic. We often encounter issues like someone dropping a column or changing the order of columns, which can cause synchronization problems when pushing data through our pipeline. It's a minor issue, but it can be annoying.

Read full review

Asish Govind

Principal Solution Architect at Tech Mahindra Limited

Stable with limited administration needed but it's coming up on its end of life

I'm not sure if Netezza offers a cloud version of the solution or not, but if they don't they should. Most companies are focused on moving towards the cloud. If it was on a cloud it would offer certain scalability and performance aspects it can't offer as a physical appliance. I'm not sure of IBM's roadmap currently, as the solution is coming up on its end of life.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The product is relatively easy to use because there is no indexing and no partitions."

"Redshift has an advantage when it comes to administration, making it easier to manage and collaborate."

"It is very easy to dump data into the tool."

"The solution's flexibility is its most valuable feature. It's also easy to scale and has relatively painless pricing."

"The solution is easy to set up and use."

"It's very easy to migrate from other databases to Redshift. There are migration tools dedicated for this purpose, enabling migration from other databases like MS SQL directly to Redshift. The majority of the scripts will be automatically transposed."

"I am satisfied with the performance of the product."

"For the on-premises version of Amazon Redshift, we need to start from scratch. However, with the cloud version whenever you want to deploy, you can scale up, and down, and it has a data warehousing capability. Redshift has many features."

More Amazon Redshift pros

"The performance of the solution is its most valuable feature. The solution is easy to administer as well. It's very user-friendly. On the technical side, the architecture is simple to understand and you don't need too many administrators to handle the solution."

"Speed contributes to large capacity."

"It is a back end for our SSIS, MicroStrategy,, Tableau. All of these are connecting to get the data. To do so we are also using our analytics which is built on the data."

"The most valuable feature is the performance."

"The need for administration involvement is quite limited on the solution."

"Data compression. It was relatively impressive. I think at some point we were getting 4:1 compression if not more."

"For me, as an end-user, everything that I do on the solution is simple, clear, and understandable."

Cons

"There is some missing functionality and sometimes it's so difficult to work in. We need to convert these functionalities using VACUUM inside Amazon Redshift and then it causes some complexity."

"They should provide a better way to work with interim data in a structured way than to store it in parquet files locally."

"Pricing is one of the things that it could improve. It should be more competitive."

"The product must become a bit more serverless."

"Running parallel queries results in poor performance and this needs to be improved."

"Compatibility with other products, for example, Microsoft and Google, is a bit difficult because each one of them wants to be isolated with their solutions."

"It takes a lot of time to ingest and update the data."

"The customer support could be more responsive."

More Amazon Redshift cons

"I'm not sure of IBM's roadmap currently, as the solution is coming up on its end of life."

"In-DB processing with SAS Analytics, since this is supposed to be an analytics server so the expectation is there."

"The Analytics feature should be simplified."

"Disaster recovery support. Because it was an appliance, and if you wanted to support disaster recovery, you needed to buy two."

"The most valuable features of this solution are robustness and support."

"Administration of this product is too tough. It's very complex because of the tools which it's missing."

"The solution could implement more reporting tools and networking utilities."

"The hardware has a risk of failure. They need to improve this."

More Netezza Analytics cons

Pricing and Cost Advice

"The cost must be improved."

"On a scale of one to ten, where one is a low price and ten is a high price, I rate the pricing a seven."

"For Amazon Redshift, we pay around INR 60,000 annually. The cost factor also depends on the number of existing customers."

"If you want a fixed price, an to not worry about every query, but you need to manage your nodes personally, use Redshift."

"The solution has very competitive pricing."

"Per hour pricing is helpful to keep the costs of a pilot down, but long-term retention is expensive."

"At the moment, pricing is a little bit on the higher side, although it depends on the size of the company."

"One of my customers went with Google Big Query over Redshift because it was significantly cheaper for their project."

More Amazon Redshift pricing and cost advice

"Expensive to maintain compared to other solutions."

"The annual licensing fees are twenty-two percent of the product cost."

"For me, mainly, it reduces my costs. It's not only the appliance cost. There are also support costs and a maintenance costs. It does reduce the costs very drastically."

See which vendors are best for you

Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.

See recommendations

816,406 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Educational Organization

60%

Financial Services Firm

Computer Software Company

Manufacturing Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?

Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different dat...

See all answers

What do you like most about Amazon Redshift?

The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good.

See all answers

What is your experience regarding pricing and costs for Amazon Redshift?

You can start small with a basic cluster to learn and practice with it. Selecting the most basic and economical cluster type can save you enough money to move forward with the solution or go with a...

See all answers

Ask a question

Earn 20 points

Comparisons

Teradata vs Amazon Redshift

Compared 15% of the time

Oracle Exadata vs Amazon Redshift

Compared 11% of the time

Snowflake vs Amazon Redshift

Compared 11% of the time

Vertica vs Amazon Redshift

Compared 10% of the time

Microsoft Azure Synapse Analytics vs Amazon Redshift

Compared 9% of the time

More Amazon Redshift Competitors

Spark SQL vs Netezza Analytics

Compared 100% of the time

More Netezza Analytics Competitors

Product Reports

Buyer's Guide

Amazon Redshift

November 2024

Download Amazon Redshift product report

Buyer's Guide

Netezza Analytics

November 2024

Download Netezza Analytics product report

Learn More

Amazon Web Services (AWS)

IBM

Overview

What is Amazon Redshift?

Amazon Redshift is a fully administered, petabyte-scale cloud-based data warehouse service. Users are able to begin with a minimal amount of gigabytes of data and can easily scale up to a petabyte or more as needed. This will enable them to utilize their own data to develop new intuitions on how to improve business processes and client relations.

Initially, users start to develop a data warehouse by initiating what is called an Amazon Redshift cluster or a set of nodes. Once the cluster has been provisioned, users can seamlessly upload data sets, and then begin to perform data analysis queries. Amazon Redshift delivers super-fast query performance, regardless of size, utilizing the exact SQL-based tools and BI applications that most users are already working with today.

The Amazon Redshift service performs all of the work of setting up, operating, and scaling a data warehouse. These tasks include provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to the Amazon Redshift engine.

Amazon Redshift Functionalities

Amazon Redshift has many valuable key functionalities. Some of its most useful functionalities include:

Cluster administration: The Amazon Redshift cluster is a group of nodes that contains a leader node and one (or more) compute node(s). The compute nodes needed are dependent on the data size, amount of queries needed, and the query execution functionality desired.
Cluster snapshots: Snapshots are backups of a cluster from an exact point in time. Amazon Redshift offers two types of snapshots: manual and automated. Amazon will store these snapshots internally in the Amazon Simple Storage Service (Amazon S3) utilizing an SSL connection. Whenever a Snapshot restore is needed, Amazon Redshift will create a new cluster and will import data from the snapshot as directed.
Cluster access: Amazon Redshift provides several intuitive features to help define connectivity rules, encrypt data and connections, and control the overall access of your cluster.
IAM credentials and AWS accounts: The Amazon Redshift cluster is only accessible by the AWS account that created the cluster. This automatically secures the cluster and keeps it safe. Inside the AWS account, users access the AWS Identity and IAM protocol to create additional user accounts and manage permissions, granting specified users the desired access needed to control cluster performance.
Encryption: Users have the option to choose to encrypt the clusters for additional added security once the cluster is provisioned. When encryption is enabled, Amazon Redshift will store all the data in user-created tables in a secure encrypted format. To manage Amazon Redshift encryption keys, users will access AWS Key Management Service (AWS KMS).

Reviews from Real Users

“Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there.” - Kundan A., Senior Consultant at Dynamic Elements AS

“With the cloud version whenever you want to deploy, you can scale up, and down, and it has a data warehousing capability. Redshift has many features. They have enriched and elaborate documentation that is helpful.”- Aishwarya K., Solution Architect at Capgemini

IBM Netezza Analytics is an embedded, purpose-built, advanced analytics platform that empowers analytic enterprises to meet and exceed their business demands. As features, it can predict with more accuracy, deliver predictions faster and respond rapidly to changes.

Sample Customers

Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449

A leading online advertising network

Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon Web Services (AWS) and others in Cloud Data Warehouse. Updated: October 2024.

DOWNLOAD NOW

816,406 professionals have used our research since 2012.

We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.